Machine Learning Engineer

Role Description

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

• Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.
• Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
• Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
• Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.
• Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
• Help shape the future of Canals as we continue scaling with our customers.

Qualifications

• Senior-level experience building and deploying machine learning models in production environments.
• Experience designing scalable data pipelines and working with large datasets.
• Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.
• Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).
• Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.
• Experience working independently in a fast-paced, product-focused environment.
• Previous experience in high-growth startups or small teams is a plus.
• Familiarity with MLOps practices and tools is a plus.

Benefits

• We're building software that solves real problems for an industry that keeps the world running.
• We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.
• We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.
• You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.
• We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.
• We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.